Rows: 6,422
Columns: 21
$ DATE <date> 1996-01-01, 1996-01-01, 1996-01-01, 1996-01-01, 1996-01-0…
$ price.index <dbl> 67.21, 67.21, 67.21, 67.21, 67.21, 67.21, 67.21, 67.21, 67…
$ month <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2…
$ year <dbl> 1996, 1996, 1996, 1996, 1996, 1996, 1996, 1996, 1996, 1996…
$ CCAAnombre <chr> "Asturias", "Islas Baleares", "Cantabria", "Ceuta", "La Ri…
$ mes <chr> "enero", "enero", "enero", "enero", "enero", "enero", "ene…
$ prec <dbl> 1182, 532, 1257, 855, 435, 453, 556, 254, 858, 413, 688, 3…
$ tmin <dbl> 1.9, 5.7, 2.1, 10.5, -0.1, 0.0, 9.9, 3.3, 0.8, 11.4, 3.4, …
$ tmax <dbl> 105, 143, 103, 161, 79, 94, 168, 138, 86, 179, 134, 87, 10…
$ tmed <dbl> 62, 100, 62, 133, 39, 47, 134, 86, 47, 146, 84, 41, 49, 33…
$ id <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
$ PIB <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
$ CCAA <dbl> 3, 4, 6, 18, 17, 13, 19, 14, 15, 5, 1, 2, 7, 8, 9, 11, 12,…
$ response_p <dbl> 0.3789474, 0.3814433, 0.3750000, 0.4285714, 0.3928571, 0.4…
$ total.x <dbl> 95, 97, 56, 7, 28, 586, 6, 128, 62, 180, 746, 108, 190, 22…
$ response_sd <dbl> 0.04977277, 0.04931953, 0.06469365, 0.18704391, 0.09229619…
$ mas <dbl> 0.5000000, 0.4845361, 0.6545455, 0.7142857, 0.5000000, 0.5…
$ menos <dbl> 0.2127660, 0.2164948, 0.1272727, 0.1428571, 0.1785714, 0.2…
$ igual <dbl> 0.2872340, 0.2989691, 0.2181818, 0.0000000, 0.3214286, 0.2…
$ ns <dbl> 0.000000000, 0.000000000, 0.000000000, 0.142857143, 0.0000…
$ total.y <dbl> 94, 97, 55, 7, 28, 585, 6, 128, 61, 180, 745, 108, 190, 22…